code: def afx_small_p16():
      """Small transformer model with small batch size for fast step times."""
      hparams = afx_small()
      hparams.add_hparam("simulated_quantize_bits", 16)
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.models import transformer
  from tensor2tensor.utils import registry
label_desc: Use image node_id 19 for calling a global function with example usage: afx_small_p16() and returns: hparams